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Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study

Crossref DOI link: https://doi.org/10.1016/S2589-7500(22)00041-3

Published Print: 2022-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Afshar, Majid

Sharma, Brihat

Dligach, Dmitriy

Oguss, Madeline

Brown, Randall

Chhabra, Neeraj

Thompson, Hale M

Markossian, Talar

Joyce, Cara

Churpek, Matthew M

Karnik, Niranjan S
Funding

Funding for this research was provided by:

National Institutes of Health (K23-AA024503)

National Institutes of Health (R01-DA041071)

National Institutes of Health (R01-DA051464)

National Institutes of Health (R01-GM123193)

National Institutes of Health (R01-HL157262)

National Institutes of Health (R01-LM010090)

National Institutes of Health (R01-LM012973)

National Institutes of Health (UL1-TR002389)

National Institute on Drug Abuse
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Text and Data Mining valid from 2022-06-01

Text and Data Mining valid from 2022-06-01

Version of Record valid from 2022-02-17
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This article is maintained by: Elsevier

Article Title: Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study

Journal Title: The Lancet Digital Health

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/S2589-7500(22)00041-3

CrossRef DOI link to the associated document: https://doi.org/10.1016/S2589-7500(22)00096-6

Content Type: article

Copyright: © 2022 The Author(s). Published by Elsevier Ltd.

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